Mar
10
How to identify and deal with outliers in meta-analysis
How to identify and deal with outliers in meta-analysis, using R.
9 min read
meta-analysis
Mar
08
How to perform a Bayesian meta-analysis
The benefits of Bayesian meta-analysis and how to perform one in R.
10 min read
Jul
14
Introducing the {metameta} R package
An R package to effortlessly calculate the statistical power of published meta-analyses to better understand the evidential value of included studies.
4 min read
Jun
30
Equivalence-enhanced forest plots with power tiles for meta-analysis
A guide on visualising equivalence and power for a series of meta-analysis results in R
5 min read
Jun
24
How to visualise the power of each effect in a meta-analysis
Determine the evidential value of effect sizes in a meta-analysis at a glance, with sunset funnel plots
6 min read
Jun
15
Oh my GOSH: Calculating all possible meta-analysis study combinations
There are several analytical decisions to be made in the course of performing a meta-analysis, which influence meta-analysis outcomes and conclusions. One decision is which studies to include. Here's how to calculate and visualize ALL possible study combinations
4 min read
Jun
13
Three common mistakes in meta-analysis
Meta-analysis has become a popular tool to summarizing data from a body of work investigating a common research question. However, there are several common meta-analysis misunderstandings that can lead to inaccurate conclusions.
8 min read